1. Souad, B., B. Khaoula, R.M. Faouzi, B. Saddek and H.C. Mokhtar, 2018. Domestic accidents: Intelligent analysis and prevention in Setif region-Algeria. Int. J. Adv. Res. Publ., 2: 15-19.
   Direct Link  |  
2. Mohamed, F., B. Saddek and Z. Khaled, 2018. Control of weed threshold using artificial neural networks. Int. J. Adv. Res. Publ., 2: 33-36.
   Direct Link  |  
3. Khaled, Z., G. Rachid and B. Saddek, 2018. Satellite inventory of forest resources (Righa Dahra-Algeria): Intelligent modeling. Int. J. Innov. Res. Multidisciplin. Field, 4: 52-58.
   Direct Link  |  
4. Imene, B., E.H. Seddik, B. Farid, K. Abelhalim, B. Khaoula and B. Saddek, 2018. Radiology and management of recurrent varicose veins: Risk factors analysis using artificial neural networks. J. Med. Radiol. Pathol. Surg., 5: 1-5.
   CrossRef  |  Direct Link  |  
5. Imen, B., B. Farid, B. Khaoula, H. Mokhtar and B. Saddek, 2018. An analysis of cranial radiography in post-mortem recognition. Radiol. Diagn. Imaging, Vol. 2, No. 1. 10.15761/RDI.1000124.
   CrossRef  |  Direct Link  |  
6. Bouharati, K., M. Hamdi-Cherif, A. Mahnane, R. Belkhir, S. Laouamri and S. Bouharati, 2018. Colon cancer: Intelligent modeling of risk factors. J. Bioinform. Syst. Biol., 1: 15-21.
   CrossRef  |  Direct Link  |  
7. Bouharati, I., F. Babouche, K. Bouharati and S. Bouharati, 2018. fMRI and cerebral tumor ablation with effect on the motor areas: Intelligent analysis. Averroes Eur. Med. J., Vol. 3, No. 1. .
   Direct Link  |  
8. Bouharati, I., F. Babouche, K. Bouharati and S. Bouharati, 2018. Brain tumor identification from MRI imaging using fuzzy inference. Radiol. Diagn. Imaging, Vol. 2, No. 3. 10.15761/RDI.1000131.
   CrossRef  |  Direct Link  |  
9. Boucena, N., K. Bouharati, A. Khenchouche, M. Amrane and K. Boussouf et al., 2018. Coronary diseases: Modeling of some risk factors using artificial intelligence techniques. Int. J. Adv. Res. Publ., 2: 46-50.
   Direct Link  |  
10. Belmahdi, M., R. Zegadi, S. Simoens and S. Bouharati, 2018. Experimental investigation of the flow over single and successive hills on smooth and rough walls. J. Applied Mech. Tech. Phys., 59: 971-979.
    CrossRef  |  Direct Link  |  
11. Belghemmaz, S., M. Fenni, S. Bouharati and Y. Louadj, 2018. Irrigation water quality and soil salinization in the Eastern Ziban region (Algeria): Intelligent analysis. Indian J. Nat. Sci., 8: 14132-14139.
12. Allag, F., S. Bouharati, L. Tedjar, M. Fenni and M. Bounechada, 2018. Atmospheric pollutant flow and precipitation: Modeling effects on the vegetation ecosystem. Aceh Int. J. Sci. Technol., 7: 157-161.
    CrossRef  |  Direct Link  |  
13. Souad, B., B. Khaoula, M. Abbas, B. Saddek and H.C. Mokhtar, 2017. Climate changes effect on the agents involved in epidemic diseases: Intelligent technique modeling. Int. J. Adv. Res. Publ., 1: 26-29.
    Direct Link  |  
14. Lokman, B., B. Imene, B. Khaoula, B. Oussama, M. Hamdi-Cherif and B. Saddek, 2017. Radiation exposure and cancer risk: Intelligent modeling. EVO J. Public Health, Vol. 2, No. 1. .
15. Khaoula, B., K. Lamia, Z. Zoubida, B. Souad, B. Hafida, B. Saddek and H.C. Mokhtar, 2017. Age characteristics of patients with diagnosis of leukemia in Setif-Algeria: Intelligent modeling system. Int. J. Public Health Res., 5: 31-35.
    Direct Link  |  
16. Khaoula, B., B. Souad, K. Abdelhalim, K. Leila, A. Mahnane, B. Saddek and M. Hamdi-Cherif, 2017. Prevalence of lung cancer: Intelligent technique modeling. EVO J. Public Health, Vol. 2, No. 1. .
17. Imene, B., B. Farid and B. Saddek, 2017. Radiography and risk factors of lung cancer: Modeling using an intelligent system. Int. J. Radiol. Radiat. Ther., 3: 277-281.
    CrossRef  |  Direct Link  |  
18. Imane, B., B. Khaoula, B. Saddek and H.C. Mokhtar, 2017. Functional magnetic resonance imaging: Fuzzy inference analysis. Radiol. Diagn. Imaging, Vol. 1, No. 2. 10.15761/RDI.1000111.
    CrossRef  |  Direct Link  |  
19. Chahrazed, B., B. Saddek, F. Mohamed and B. Khaoula, 2017. Pesticides in drinking water and public health: Modeling using artificial intelligence techniques. Int. J. Scient. Res. Environ. Sci., 5: 47-51.
    CrossRef  |  Direct Link  |  
20. Bouharati, K., M. Bounechada, S. Bouharati and M. Hamdi-Cherif, 2017. Leishmaniasis transmission vectors analysis using artificial neural networks. Averroes Eur. Med. J., Vol. 5, No. 1. .
    Direct Link  |  
21. Bouaoud, S., K. Bouharati, L. Kara, H. Boukhaouba, S. Bouharati, A. Mahnane and M. Hamdi-Cherif, 2017. Tobacco as a risk factor of larynx cancer: Artificial neural network modeling. Averroes Eur. Med. J., Vol. 3, No. 2. .
    Direct Link  |  
22. Bouaoud, S., K. Bouharati, A. Mahnane, L. Kara, N. Boucena, S. Bouharati and M. Hamdi-Cherif, 2017. Age and sex as risk factors for lung cancer in Setif region-Algeria: Fuzzy inference modeling. Asian J. Med. Health, 2: 1-10.
    CrossRef  |  Direct Link  |  
23. Abdelhalim, K., B. Khaoula, B. Saddek, M. Abbas and H.C. Mokhtar, 2017. Post mortem interval: Necrobiome analysis using artificial neural networks. Comput. Biol. Bioinform., 5: 90-96.
    CrossRef  |  Direct Link  |  
24. Bouharati, K., S. Bouaoud, M. Amarane, A. Mahnane, N. Boucenna, S. Bouharati and M. Hamdi-Cherif, 2016. Age-incidence of breast cancer: Artificial neural networks modeling. World J. Innov. Res., 1: 13-15.
    Direct Link  |  
25. Bouharati, K., M. Hamdi-Cherif, A. Mahnane, S. Laaouamri and S. Bouaoud et al., 2016. Socioeconomic and age-incidence of breast cancer: Modeling using artificial intelligence technique. J. Cancer Tumor Int., 3: 1-8.
    CrossRef  |  Direct Link  |  
26. Amrane, M., K. Boussouf, K. Bouharati, S. Bouaoud and N. Foudi et al., 2016. Fuzzy inference modeling of risk factors in coronary diseases: A review. Int. Multispecialty J. Health, 2: 15-22.
    Direct Link  |  
27. Cheniti-Abed, K., M. Dekhili and S. Bouharati, 2015. Agro-morphological characterization of three species of VETCH using artificial neural networks. Int. J. Curr. Res., 7: 23426-23430.
    Direct Link  |  
28. Boumaiza, S., S. Bouharati, A. Bouzidi and M. Lalaoui, 2015. Predicting health effects of electromagnetic pollution in Algeria using fuzzy logic. Int. J. Public Health Res., 3: 352-356.
    Direct Link  |  
29. Saddek, B., B.C. Wafa, B. Chahra and B. Souad, 2014. Analysis using ANN of thermal inertia in the Sahara habitats: The case of architectural styles in the region of Adrar (Algeria). Am. J. Environ. Eng. Sci., 1: 69-72.
    Direct Link  |  
30. Saddek, B., B. Chahra, B.C. Wafa and B. Souad, 2014. Air quality index and public health: Modelling using fuzzy inference system. Am. J. Environ. Eng. Sci., 1: 85-89.
    Direct Link  |  
31. Bouharati, S., F. Allag, M. Belmahdi and M. Bounechada, 2014. Phytoadaptation in desert soil prediction using fuzzy logic modeling. Int. J. Biol. Vet. Agric. Food Eng., 8: 657-659.
32. Allag, F., S. Bouharati, M. Belmahdi and R. Zegadi, 2014. Phytopathology prediction in dry soil using artificial neural networks modeling. Int. J. Biol. Vet. Agric. Food Eng., 8: 657-659.
33. Sadrati, N., H. Daoud, A. Zerroug, S. Dahamna and S. Bouharati, 2013. Screening of antimicrobial and antioxidant secondary metabolites from endophytic fungi isolated from wheat (Triticum durum). J. Plant Protect. Res., 53: 128-136.
    CrossRef  |  Direct Link  |  
34. Saddek, B., B. Hacen, A. Fateh, B. Chara and B. Mustapha, 2013. Artificial neural networks in prevention of nosocomials infections. Int. J. Scient. Technol. Res., 2: 293-295.
    Direct Link  |  
35. Bouharati, S., I. Bouharati, C. Benzidane, F. Alleg and M. Belmahdi, 2013. Processing the medical sensors signals using fuzzy inference system. World Acad. Sci. Eng. Technol., 78: 1658-1661.
36. Bouharati, S., D. Harzallah, I. Bouharati, F. Allag and M. Bounechada, 2013. PID-ANN in medical diagnosis. J. Med. Sci. Public Health, 1: 23-28.
37. Belmahdi, M., R. Zegadi, S. Bouharati and F. Allag, 2013. Modeling of air flow in wind tunnel using artificial intelligence techniques. Wulfenia J., 20: 94-101.
38. Allag, F., R. Zegadi, S. Bouharati, L. Tedjar and I. Bouharati, 2013. Dynamic of air pollution and its effect on newborns: Analysis using fuzzy logic inference system. Wulfenia J., 20: 18-25.
39. Abed-Cheniti, K., M. Dekhili and S. Bouharati, 2013. Morphological characterization of three legumes (Vicia spp.) in the semi-arid region of Setif-Algeria using fuzzy logic inference system. Int. J. Sci. Eng. Invest., 2: 95-99.
    Direct Link  |  
40. Lamri, T., K. Mohmed, D. Nacer and B. Saddek, 2012. Assessment of heavy metal pollution from the industrial dust on the reforestation of pine (Pinus halipensis Mill) in the tell Setif (North-East, Algeria). J. Agric. Biol. Sci., 7: 273-278.
    Direct Link  |  
41. Bouharati, S., M. Bounechada, A. Djoudi, D. Harzallah, F. Alleg and H. Benamrani, 2012. Prevention of obesity using artificial intelligence techniques. J. Sci. Eng. Invest., 1: 146-150.
    Direct Link  |  
42. Lamri, T., K. Mohamed, D. Nacer, B. Mustapha and B. Saddek, 2011. Assessment of the physicochemical characteristics and heavy metals level groundwater at Setif High Plains (Algeria). Res. J. Biol. Sci., 6: 475-479.
    CrossRef  |  Direct Link  |  
43. Hani, M., M. Fenni and S. Bouharati, 2011. Fuzzy inference system for identification of cereals weeds seeds. J. Environ. Sci. Eng., 5: 1337-1342.
    CrossRef  |  Direct Link  |  
44. Belhadj, H., D. Harzallah, S. Khennouf, S. Dahamna, S. Bouharati and A. Baghiani, 2010. Isolation, identification and antimicrobial activity of lactic acid bacteria from Algerian honeybee collected pollen. Acta Hortic., 854: 51-58.
    CrossRef  |  Direct Link  |  
45. Bouharati, S., K. Benmahammed, D. Harzallah and Y.M. El-Assaf, 2008. Application of artificial neuro-fuzzy logic inference system for predicting the microbiological pollution in fresh water. J. Applied Sci., 8: 309-315.
    CrossRef  |  Direct Link  |  
46. Harzallah, D., K. Benmahammed, S. Bouharati and Y.M. El-Assaf, 2006. Application of artificial neural network for predicting microbiological pollution in fresh water. J. Eng. Applied Sciences, 1: 406-409.
    CrossRef  |  Direct Link  |